000171037 001__ 171037
000171037 005__ 20260505142649.0
000171037 0247_ $$2doi$$a10.1109/OJCS.2026.3682070
000171037 0248_ $$2sideral$$a149065
000171037 037__ $$aART-2026-149065
000171037 041__ $$aeng
000171037 100__ $$aHerrera-Murillo, Dagoberto José
000171037 245__ $$aApplicability of process mining in usability tests: a case study for identifying user mental models in geospatial search engines
000171037 260__ $$c2026
000171037 5060_ $$aAccess copy available to the general public$$fUnrestricted
000171037 5203_ $$aA fundamental challenge in digital product design is ensuring that actual mental models of users align with the intended functionality of the system. When discrepancies arise, usability can suffer, leading to inefficient interactions and reduced adoption. Usability testing lets development teams identify design problems in digital products by collecting qualitative and quantitative information. However, this technique is often not able to provide a panoramic view of the interaction with the system, especially when dealing with complex interfaces such as those used in geospatial search engines and we need to analyse the quantitative data compiled during testing. This work proposes to actively incorporate process mining into usability testing. We discuss the implications of process mining on usability testing using a case study performed at the National Geographic Institute of Spain, where a new geospatial search engine was under development. Twenty-one participants, ranging from novice to expert users, were recruited to perform a search task using the new geospatial search engine. The findings reveal that the mental model of users leans towards the archetype of a regular search engine rather than fully utilising the geographic functionalities provided by the platform, as intended by its designers.
000171037 536__ $$9info:eu-repo/grantAgreement/ES/DGA/T59-23R$$9info:eu-repo/grantAgreement/ES/DGA/T60-23R$$9info:eu-repo/grantAgreement/EC/H2020/955569/EU/Towards a sustainable Open Data ECOsystem/ODECO$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 955569-ODECO
000171037 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttps://creativecommons.org/licenses/by/4.0/deed.es
000171037 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000171037 700__ $$aAbad-Power, Paloma
000171037 700__ $$0(orcid)0000-0001-6491-7430$$aLópez-Pellicer, Francisco J.$$uUniversidad de Zaragoza
000171037 700__ $$0(orcid)0000-0002-9315-6391$$aBaldassarri, Sandra$$uUniversidad de Zaragoza
000171037 700__ $$0(orcid)0000-0002-1279-0367$$aNogueras-Iso, Javier$$uUniversidad de Zaragoza
000171037 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf.
000171037 773__ $$g(2026), 1-12$$pIEEE open j. Comput. Soc.$$tIEEE open journal of the Computer Society
000171037 8564_ $$s5762364$$uhttps://zaguan.unizar.es/record/171037/files/texto_completo.pdf$$yPostprint
000171037 8564_ $$s2604275$$uhttps://zaguan.unizar.es/record/171037/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000171037 909CO $$ooai:zaguan.unizar.es:171037$$particulos$$pdriver
000171037 951__ $$a2026-05-05-13:36:15
000171037 980__ $$aARTICLE